London’s Kohort raises €6 million Series A to build AI user acquisition agents for mobile game studios - EU-Startups

2026-05-08 · Source: Series A" OR "Series B" OR "Series C" AI startup via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Gaming & Interactive Media · Depth: Fundamental Awareness, short

Summary

London-based Kohort, a mobile gaming analytics and user acquisition (UA) optimization company, has secured €5.9 million ($7 million) in Series A funding, led by The Raine Group. This investment will fuel the development of AI-powered UA agents for mobile game studios. Founded in 2018, Kohort utilizes an ML-based predictive analytics platform to help studios, operators, and investors optimize UA spend and conduct M&A due diligence. The company's agent suite will focus on three core capabilities: campaign optimization via its Ktrl product, which generates network-specific bidding strategies; on-demand research leveraging €850 million ($1 billion) in annual spend data; and automated reporting. These agents are supported by predictive models trained on €5.1 billion ($6 billion) of historical UA spend, reportedly achieving 95% daily campaign-specific prediction accuracy.

Key takeaway

For AI Product Managers overseeing mobile gaming user acquisition, Kohort's new AI agents represent a significant shift. Your teams should evaluate these specialized agents for their potential to deliver 95% accurate daily campaign predictions and optimize ROAS, CPI, and CPE/CPA campaigns. Consider how integrating such a platform could streamline operations, provide deeper insights into ad network algorithms, and enhance long-term LTV forecasting, ultimately reducing wasted UA spend.

Key insights

Accurate long-term predictions are crucial context for effective user acquisition in mobile gaming.

Principles

• UA teams need agents acting on real context.
• Optimize campaigns with network-specific strategies.
• Predictive LTV capabilities are foundational.

Method

Kohort's platform trains client-specific models in under 20 minutes, integrating with existing data warehouses to deliver daily campaign-specific predictions with 95% accuracy for UA optimization.

In practice

• Use Ktrl for network-specific bidding strategies.
• Benchmark UA trends against €850M spend data.
• Automate reporting for unified data insights.

Topics

• Kohort
• User Acquisition Agents
• Mobile Gaming Analytics
• Machine Learning
• Predictive Analytics

Best for: Investor, Director of AI/ML, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Series A" OR "Series B" OR "Series C" AI startup via Google News.